Federated Optimization Algorithms with Random Reshuffling and Gradient Compression.
Abdurakhmon SadievGrigory MalinovskyEduard GorbunovIgor SokolovAhmed KhaledKonstantin BurlachenkoPeter RichtárikPublished in: CoRR (2022)
Keyphrases
- optimization problems
- orders of magnitude
- global optimization
- combinatorial optimization
- data structure
- discrete optimization
- optimization algorithm
- times faster
- learning algorithm
- significant improvement
- optimization methods
- data compression
- optimization approaches
- stochastic gradient
- benchmark datasets
- machine learning algorithms
- distributed systems
- edge detection
- computational cost
- query processing
- digital libraries